MSc Computer Science

The Department of Computer Science and Engineering was established in the University in 2010. The department offers degree programmes at doctoral, masters and bachelor levels. The MSc programmes in Computer Science offer advanced curricula that bridges core computing concepts with emerging technologies. Designed for students with a strong foundation in computer science, the programme covers key areas such as algorithms, artificial intelligence, machine learning, data science, cybersecurity, and cloud computing. With a blend of theoretical knowledge and hands-on research, students develop critical problem-solving and analytical skills. The programme prepares graduates for careers in research, academia, and industry, equipping them to tackle complex computational challenges and contribute to technological advancements.

Specialization Options: Students admitted into any of the Masters programmes will be provided the option to follow the general track or to opt to have specialization either in AI & ML or in Advanced Networks & Systems) before the beginning of the first semester

A candidate must have passed Bachelor's degree in Computer Science or a closely related discipline* with Mathematics as a subject either at the Bachelor’s level or at the 10+2 (12th class) level under 10+2+4 pattern from a recognized institution or an examination recognized by the University as its equivalent with a minimum of 55% marks (or an equivalent grade).

*Indicative List of Closely Related Disciplines:

Computer Science and Engineering/ Computer Engineering/ Computer Applications/ Information Technology

A candidate must have passed a 3 or 4 year Bachelor's degree in Computer Science or a relevant area* with Mathematics as a subject either at the Bachelor’s level or at the 10+2 (12th class) level from a recognized institution or an examination recognized by the University as its equivalent with a minimum of 55% marks (or an equivalent grade). 
*Indicative List of Relevant Areas:
• Computer Science and Engineering / Computer Engineering/ Computer Applications/Information Technology
• Any other Science/Engineering areas having at least one-fifth Computer Science courses 

Note: In the case where Master's Programme is available in one as well as in two year format, the candidates are advised to choose the programme appropriately as per their eligibility. In case, a candidate has opted for one year programme and later it is found that he/she is not eligible for one year programme but is eligible for two year programme, he/she will be offered two year programme. Moreover, if eligible for both, at the time of admission, the switch between one year and two year programmes is allowed.

Modes of Admission

Admission to various Master’s programmes is offered through two modes:

1. SAU Entrance Test Mode:

• For Indian Candidates: Center-based online tests conducted by the University.
• For other SAARC Candidates (excluding India): Proctored online tests on stipulated dates.

2. Direct Admission Mode (Without SAU Entrance Test):

• In India: Based on scores from national-level tests.
• In Other SAARC Countries: Based on national-level test scores or qualifying examination results from recognized institutions.
• For Non-SAARC Candidates: Based on scores obtained in their qualifying examination.

For more information – Click Here

Note: Vacant seats in one category will be transferred to another category.

• The duration of the Entrance Test will be 2 hours.
• The question paper will consist of 70 multiple choice questions.
• There will be no negative marking.
• Calculators will not be allowed. However, Log Tables may be used.

• Set Theory and Algebra: Sets, Relations, Functions, Groups, Partial Orders, Lattice, Boolean Algebra.
• Combinatorics: Permutations, Combinations, Counting, Summation, Binomial Theorem, Exponential Series.
• Matrix: Basic Concepts, Types of Matrices, Determinants, Transpose, Inverse and Rank of a Matrix, Matrix Algebra, Systems of Linear Equations.
• Calculus: Limit, Continuity and Differentiability, Mean Value Theorems, Theorems of Integral Calculus, Evaluation of Definite and Improper Integrals, Partial Derivatives, Total Derivatives, Maxima and Minima.
• Ordinary Differential Equations: First Order First Degree Equations, Variable Separable Method, Homogeneous Equations, Exact Equations, Integrating Factors, Linear Equations.
• Vector Analysis: Addition, Subtraction, Dot Product and Cross Products of Vectors.
• Programming in C: Elements of C, Identifiers, Data Types, Control Structures, Array, Structure, Union, Strings, Pointers, Functions, Parameter Passing to Functions, Recursion, File Handling.
• Data Structures & Algorithms: Elementary Concepts of List, Stack, Queue, Tree and Graph, Space and Time Complexity Analysis, Sorting Techniques: Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, etc., Searching Techniques: Linear and Binary Search.
• Database Management System: Basic Concepts, Attributes, Entity and Relationships, ER Diagram, Database Decomposition and Normalization, Database Constraints, Relational Algebra, SQL.
• Digital Logic and Computer Architecture: Number System, Data Representation, Compliments, Computer Arithmetic, Logic Gates, Combinational and Sequential Circuits, Computer Organization, Instruction Formats and Addressing Modes, Memory Organization and I/O Interfaces.
• Computer Networks: Introduction to computer networks, transmission media, transmission modes, network types: LAN, MAN, and WAN, network topologies, basic concept of MAC and IP Address, reference models: OSI & TCP/IP.

• Operating System (OS): Overview of OS, functionalities and characteristics of OS, process and process states, threads, CPU scheduling and algorithms, memory management, memory allocation strategies, virtual memory concepts, paging and segmentation.

For a sample test paper, click here.